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检索条件"任意字段=Knowledge-Based Software Engineering Conference"

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knowledge-based Retrieval Methods for Enhancing Aerospace Model software Documentation 24

Knowledge-based Retrieval Methods for Enhancing Aerospace Mo...

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3rd International conference on Artificial Intelligence and Intelligent Information Processing, AIIIP 2024

作者： Duan, Jinjian Wei, Deming Wang, Meiqing Chen, Gaohui Zhang, Yang Gao, Yanhua School of Mechanical Engineering and Automation Beihang University Beijing China Beijing Institute of Control and Electronic Technology Beijing China

ISBN: (纸本)9798400707308

Addressing the critical challenges of poor structure, weak relevance, and limited reusability in aerospace model software development documents, we propose a knowledge-based retrieval method. This method constructs a knowledge base by analyzing key document features, including storage methods, file formats, content structure, inter-document associations, and naming conventions. The system implements structured document management and associates documents based on software configuration information. By partitioning the retrieval domain, constructing semantic vectors, and applying multi-dimensional weight configurations, the method enables efficient retrieval in domains characterized by dense information and frequent term repetition. An aerospace model software document retrieval system has been developed and preliminarily implemented in an aerospace enterprise, demonstrating its effectiveness in improving retrieval efficiency and enhancing the reuse of development knowledge. © 2024 Copyright held by the owner/author(s).

关键词： Content based retrieval

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Overview of Current Challenges in Multi-architecture software engineering and a Vision for the Future 12th

Overview of Current Challenges in Multi-architecture Softwar...

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12th International conference on Big Data Analytics, BDA 2024

作者： Sowiński, Piotr Lacalle, Ignacio Vaño, Rafael Palau, Carlos E. Ganzha, Maria Paprzycki, Marcin Faculty of Mathematics and Information Science Warsaw University of Technology ul. Koszykowa 75 Warsaw00-662 Poland Systems Research Institute Polish Academy of Sciences ul. Newelska 6 Warsaw01-447 Poland Communications Department Universitat Politècnica de València Valencia46022 Spain

ISBN: (纸本)9783031861925

The landscape of computing technologies is changing rapidly, straining existing software engineering practices and tools. The growing need to produce and maintain increasingly complex multi-architecture applications makes it crucial to effectively accelerate and automate software engineering processes. At the same time, artificial intelligence (AI) tools are expected to work hand-in-hand with human developers. Therefore, it becomes critical to model the software accurately, so that the AI and humans can share a common understanding of the problem. In this contribution, firstly, an in-depth overview of these interconnected challenges faced by modern software engineering is presented. Secondly, to tackle them, a novel architecture based on the emerging WebAssembly technology and the latest advancements in neuro-symbolic AI, autonomy, and knowledge graphs is proposed. The presented system architecture is based on the concept of dynamic, knowledge graph-based WebAssembly Twins, which model the software throughout all stages of its lifecycle. The resulting systems are to possess advanced autonomous capabilities, with full transparency and controllability by the end user. The concept takes a leap beyond the current software engineering approaches, addressing some of the most urgent issues in the field. Finally, the efforts towards realizing the proposed approach, as well as future research directions, are summarized. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： knowledge graph

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12th International conference on software engineering and Formal Methods, SEFM 2014 Collocated with 1st Workshop on Human-Oriented Formal Methods, HOFM 2014, 1st Workshop on Safety and Formal Methods, SaFoMe 2014, 8th International Workshop on Foundations and Techniques for Open Source software Certification, OpenCert 2014, 3rd International Symposium on Modeling and knowledge Management Applications, MoKMaSD 2014, 4th Workshop on Formal Methods in the Development of software, WS-FMDS 2014

12th International Conference on Software Engineering and Fo...

引用

12th International conference on software engineering and Formal Methods, SEFM 2014 Collocated with 1st Workshop on Human-Oriented Formal Methods, HOFM 2014, 1st Workshop on Safety and Formal Methods, SaFoMe 2014, 8th International Workshop on Foundations and Techniques for Open Source software Certification, OpenCert 2014, 3rd International Symposium on Modeling and knowledge Management Applications, MoKMaSD 2014, 4th Workshop on Formal Methods in the Development of software, WS-FMDS 2014

ISBN: (纸本)9783319152004

The proceedings contain 31 papers. The special focus in this conference is on software engineering and Formal Methods, Human-Oriented Formal Methods, Safety and Formal Methods, Foundations and Techniques for Open Source software Certification and Modeling and knowledge Management Applications. The topics include: A usability evaluation of interactive theorem provers using focus groups;an approach for creating domain specific visualisations of CSP models;on a process algebraic representation of sequence diagrams;modelling and verification of survivability requirements for critical systems;a testing-based approach to ensure the safety of shared resource concurrent systems;a contracts-based framework for systems modeling and embedded diagnostics;ontology for learning processes in FLOSS communities;a latent representation model for sentiment analysis in heterogeneous social networks;use of mobile phone data to estimate visitors mobility flows;a mathematical model for assessing KRAS mutation effect on monoclonal antibody treatment of colorectal cancer;retrieving points of interest from human systematic movements;path-sensitive race detection with partial order reduced symbolic execution and towards synthesis of attack trees for supporting computer-aided risk analysis.

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Application of Data Mining in the Development and Management of software engineering in Cloud Computing Platform 6th

Application of Data Mining in the Development and Management...

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6th International conference on Cyber Security Intelligence and Analytics, CSIA 2024

作者： Tan, Qing School of Information Technology Luoyang Normal University Luoyang China

ISBN: (纸本)9783031882869

Data Mining is a process of extracting valuable information and knowledge that people have not observed from a large number of complicated data. Massive data mining based on cloud computing can optimize the dynamic resource scheduling and allocation of information. The application of data mining technology in computer software engineering can quickly find out the data which is beneficial to software engineering management, thus providing useful information for software development and management. Data mining technology has significant application advantages in software vulnerability detection, fault repair, source code development and other fields. This paper proposes the application of data mining technology to software engineering on the basis of cloud computer. The experimental results show that the data mining technology proposed in this paper can effectively improve the quality of software engineering development and management under the cloud computing platform. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Application programs

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EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection

EagerLog: Active Learning Enhanced Retrieval Augmented Gener...

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2025 IEEE International conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Duan, Chiming Jia, Tong Yang, Yong Liu, Guiyang Liu, Jinbu Zhang, Huxing Zhou, Qi Li, Ying Huang, Gang School of Software and Microelectronics Peking University Beijing China Institute for Artificial Intelligence Peking University Beijing China National Engineering Research Center for Software Engineering Peking University Beijing China National Key Laboratory of Data Space Technology and System Beijing China Alibaba Cloud Computing Company Hangzhou China

ISBN: (纸本)9798350368741

Logs record essential information about system operations and serve as a critical source for anomaly detection, which has generated growing research interest. Utilizing large language models (LLMs) within a retrieval-augmented generation (RAG) framework for log-based anomaly detection is an effective approach due to its strong generalization capabilities and efficient few-shot performance. However, the effectiveness of this method hinges on the quality of the knowledge source, which can be impacted by noise and changes within the software systems. Facing these problems, in this paper, we propose a novel log-based anomaly detection method named EagerLog, employing active learning to choose the logs for humans to label, thereby adding them to the knowledge source, thus enhancing the knowledge source and maintaining its quality. Our experiments on three open datasets (BGL, Thunderbird, Zookeeper) and one industrial dataset demonstrate that EagerLog can achieve 93.65% F1 score with approximately 10 labeled log sequences, surpassing existing methods by 15.32%. © 2025 IEEE.

关键词： Active Learning Anomaly Detection Log Analysis Retrieval Augmented Generation

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Course Assessment Reform based on Internet and Mobile Internet Technology 24

Course Assessment Reform Based on Internet and Mobile Intern...

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7th International conference on Educational Technology Management, ICETM 2024

作者： Lin, Yubei Tan, Mingkui School of Software Engineering South China University of Technology Guangdong Guangzhou China

ISBN: (纸本)9798400717468

Examination and evaluation are effective methods for assessing the effectiveness of teaching and the quality of talent cultivation, which are essential components of the teaching process. Traditional course assessments focus on final assessments through paper-based tests, with grading relying on manual labor, which is inefficient and prone to errors. based on Internet and mobile Internet technologies, this paper proposes a course assessment mechanism that combines both process-oriented and summative evaluations. Considering the large number of students and the multitude of knowledge points in the Introduction to Computer and software engineering course, the smart teaching tool Yuketang is used to implement process-oriented assessments, while the summative evaluations are completed using an online examination system developed by the teaching team. After several rounds of teaching practice, the reform measures have been proven to effectively enhance teaching efficiency and improve the quality of teaching. © 2024 Copyright held by the owner/author(s).

关键词： Curricula

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Proceedings: 5th IEEE/ACIS International conference on Computer and Information Science (ICIS 2006) in conjunction with 1st IEEE/ACIS International Workshop on Component-based software engineering, software Architecture and Reuse (COMSAR 2006)

Proceedings: 5th IEEE/ACIS International Conference on Compu...

引用

5th IEEE/ACIS International conference on Computer and Information Science, ICIS 2006. In conjunction with 1st IEEE/ACIS International Workshop on Component-based software engineering, software Architecture and Reuse, COMSAR 2006

ISBN: (纸本)0769526136

The proceedings contain 79 papers. The topics discussed include: a grid scheduling algorithm for bag-of-tasks applications using multiple queues with duplication;model the MPI performance for non-contiguous data;optimized algorithm for computing invariants of ordinary petri nets;radiative heat transfer simulation using programmable graphics hardware;decoupling metrics for services composition;an approach to analyzing the Windows and Linux security models;reducing the requirement in FEC codes via capillary routing;a distributed topic map architecture for enterprise knowledge management;mapping COSA software architecture concepts into UML2.0;analyzing security interoperability during component integration;fault tolerant non-trivial repeating pattern discovering for music data;hoarding and prefetching for mobile databases;on history-sensitive models of interactive queues;application services based on personal data ontology;and irregular patch for image synthesis.

关键词： Grid computing

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A knowledge Push Method to Support the Debugging Process Design of Complex Electronic Products 24

A Knowledge Push Method to Support the Debugging Process Des...

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8th International conference on Electronic Information Technology and Computer engineering, EITCE 2024

作者： Xue, Hao Chen, Xingyu Luo, Tiannan Li, Yang Liu, Yuhan Zhang, Kai School of Mechanical Engineering Sichuan University Sichuan Chengdu China Southwest China Research Institute of Electronic Equipment Sichuan Chengdu China

ISBN: (纸本)9798400710094

The core of design lies in the acquisition and application of knowledge. knowledge push technology can effectively improve the utilization efficiency of knowledge by designers, thus enabling more efficient task completion. To address the current challenges in debugging process design, including insufficient knowledge management and the dynamic demand for knowledge, this paper proposes a knowledge push method tailored for the debugging process design of complex electronic products. By constructing a knowledge graph for debugging processes and utilizing a semantic similarity-based push algorithm, the method intelligently identifies knowledge needs during the design process, achieving precise knowledge delivery. On this basis, a prototype system supporting knowledge push for complex electronic product debugging design was developed. Taking the debugging process design of an elevator drive system as an example, the method has been proven to effectively improve design efficiency. © 2024 Copyright held by the owner/author(s).

关键词： knowledge graph

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Leadership Teaching in Agile software engineering: A Systematic Mapping 17

Leadership Teaching in Agile Software Engineering: A Systema...

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17th International conference on Computer Supported Education, CSEDU 2025

作者： Nascimento, Nicolas Sales, Afonso Chanin, Rafael PUCRS School of Technology RS Porto Alegre Brazil

ISBN: (纸本)9789897587467

The software industry is characterized by an environment of uncertainty, high volatility, and constant change. This context has shaped the industry, its components, and actors, generating methodologies capable of meeting both market expectations and software development requirements. Among these methodologies, agile has been the most widely adopted - it provides teams with an overarching set of practices to manage software development project requirements while maintaining flexibility to incorporate changes that the business environment presents. However, professionals equipped with the necessary skills to work in these Agile teams, often referred to as "soft skills", pose a challenge for universities to teach. From this set of skills, leadership, in particular, has recently garnered attention from the software engineering education community but remains an open research opportunity. In this context, this work aims at creating a body of knowledge regarding leadership teaching in agile software engineering. To achieve this goal, we conducted a systematic mapping. From a selection of 27 studies, our results provide indications that: (i) leadership in software engineering education is typically defined as part of teamwork, shared among team members, associated with Scrum, and applied to provide students with experience in group representation;and (ii) it is usually taught through Scrum, involving active learning methodologies (such as problem-based learning) and employing real projects either sourced from external partners or designed to solve real-world problems. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： software design

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12th International Workshop on Biological knowledge Discovery from Data, BIOKDD 2021, 5th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2021, 3rd International Workshop on Machine Learning and knowledge Graphs, MLKgraphs 2021, 1st International Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply, AI-CARES 2021, 1st International Workshop on Time Ordered Data, ProTime2021 and 1st International Workshop on AI System engineering: Math, Modelling and software, AISys2021 held at 32nd International conference on Database and Expert Systems Applications, DEXA 2021

12th International Workshop on Biological Knowledge Discover...

引用

12th International Workshop on Biological knowledge Discovery from Data, BIOKDD 2021, 5th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2021, 3rd International Workshop on Machine Learning and knowledge Graphs, MLKgraphs 2021, 1st International Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply, AI-CARES 2021, 1st International Workshop on Time Ordered Data, ProTime2021 and 1st International Workshop on AI System engineering: Math, Modelling and software, AISys2021 held at 32nd International conference on Database and Expert Systems Applications, DEXA 2021

ISBN: (纸本)9783030871000

The proceedings contain 23 papers. The special focus in this conference is on Database and Expert Systems Applications. The topics include: Semantic Influence Score: Tracing Beautiful Minds Through knowledge Diffusion and Derivative Works;robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis;membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization;membership-Mappings for Data Representation Learning: A Bregman Divergence based Conditionally Deep Autoencoder;data Catalogs: A Systematic Literature Review and Guidelines to Implementation;task-Specific Automation in Deep Learning Processes;approximate Fault Tolerance for Edge Stream Processing;deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends;time Series Pattern Discovery by Deep Learning and Graph Mining;a Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems;integrating Gene Ontology based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis;SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R;short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-based Ensembles;a Comparative Study of Deep Learning Approaches for Day-Ahead Load Forecasting of an Electric Car Fleet;Security-based Safety Hazard Analysis Using FMEA: A DAM Case Study;Privacy Preserving Machine Learning for Malicious URL Detection;remote Attestation of Bare-Metal Microprocessor software: A Formally Verified Security Monitor;Provenance and Privacy in ProSA: A Guided Interview on Privacy-Aware Provenance;placeholder Constraint Evaluation in Simulation Graphs;Walk Extraction Strategies for Node Embeddings with RDF2Vec in knowledge Graphs;bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study.

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